Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Distributions in Statistics: Continuous Multivariate Distributions.
19731.3k citationsNorman L. Johnson, Samuel Kotz et al.profile →
This map shows the geographic impact of Samuel Kotz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel Kotz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Kotz more than expected).
This network shows the impact of papers produced by Samuel Kotz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel Kotz. The network helps show where Samuel Kotz may publish in the future.
Co-authorship network of co-authors of Samuel Kotz
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Kotz.
A scholar is included among the top collaborators of Samuel Kotz based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Samuel Kotz. Samuel Kotz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pearn, W. L. & Samuel Kotz. (2006). Encyclopedia And Handbook of Process Capability Indices: A Comprehensive Exposition of Quality Control Measures (Series on Quality, Reliability and Engineering Statistics).24 indexed citations
4.
Nadarajah, Saralees & Samuel Kotz. (2006). Moments of the product distribution.. 6. 41–48.
Nadarajah, Saralees & Samuel Kotz. (2005). Muliere and Scarsini's bivariate Pareto distribution: sums, products, and ratios.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 29(2). 183–199.1 indexed citations
7.
Kotz, Samuel & Donatella Vicari. (2005). Survey of developments in the theory of continuous skewed distributions. METRON. 225–261.25 indexed citations
8.
Nadarajah, Saralees & Samuel Kotz. (2003). Reliability for Pareto models. METRON. 191–204.17 indexed citations
9.
Bairamov, Ismihan, et al.. (2001). The Sarmanov family and its generalization : theory and methods. 35(2). 205–224.16 indexed citations
10.
Kotz, Samuel, N. Balakrishnan, & Norman L. Johnson. (2000). Continuous Multivariate Distributions. Wiley series in probability and statistics.955 indexed citations breakdown →
11.
Kotz, Samuel & Norman L. Johnson. (1997). Breakthroughs in Statistics. Springer series in statistics.163 indexed citations
Kotz, Samuel & Norman L. Johnson. (1992). Breakthroughs in Statistics. Springer series in statistics.585 indexed citations breakdown →
14.
Kotz, Samuel & Norman L. Johnson. (1992). Methodology and distribution. Springer eBooks.6 indexed citations
15.
Kotz, Samuel, et al.. (1991). Advances in probability distributions with given marginals : beyond the copulas. Kluwer Academic Publishers eBooks.50 indexed citations
Ліннік, Ю. В. & Samuel Kotz. (1971). Studies in mathematical statistics. American Mathematical Society eBooks.1 indexed citations
20.
Kotz, Samuel. (1966). Russian-English dictionary and reader in the cybernetical sciences : with a selected bibliography of Soviet Publications in the cybernetical sciences. CERN Document Server (European Organization for Nuclear Research).1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.